Question 1

Independent events are mutually exclusive.

Accepted Answer

A) True 
 B)False  False

Question 2

The odds of an event can be calculated by dividing the event's probability by the probability of its complement.

Accepted Answer

A) True 
 B)False  True

Question 3

If P(A)= .20 then the odds against event A's occurrence are 4 to 1.

Accepted Answer

A) True 
 B)False  True

Question 4

Baye's Theorem shows how to revise a prior probability to obtain a conditional or posterior probability when another event's occurrence is known.

Accepted Answer

A) True 
 B)False

Question 5

At Joe's Restaurant,80 percent of the diners are new customers (N),while 20 percent are returning customers (R).Fifty percent of the new customers pay by credit card,compared with 70 percent of the regular customers.If a customer pays by credit card,what is the probability that the customer is a new customer?

Accepted Answer

A)  .7407 
B)  .8000 
C)  .5400 
D)  .5000 
A)  .7407 
B)  .8000 
C)  .5400 
D)  .5000

Question 6

Given the contingency table shown here,find P(A ∩ M).

Accepted Answer

A)  .210 
B)  .360 
C)  .396 
D)  .583 
A)  .210 
B)  .360 
C)  .396 
D)  .583

Question 7

The empirical view of probability is based on relative frequencies.

Accepted Answer

A) True 
 B)False

Question 8

Probability is the measure of the relative likelihood that an event will occur.

Accepted Answer

A) True 
 B)False

Question 9

Regarding the rules of probability,which of the following statements is correct?

Accepted Answer

A)  If A and B are independent events,then P(
B) = P(
A) P(
B) . 
B)  The sum of two mutually exclusive events is one. 
C)  The probability of A and its complement will sum to one. 
D)  If event A occurs,then its complement will also occur. 
A)  If A and B are independent events,then P(
B) = P(
A) P(
B) . 
B)  The sum of two mutually exclusive events is one. 
C)  The probability of A and its complement will sum to one. 
D)  If event A occurs,then its complement will also occur.

Question 10

Given the contingency table shown here,if a randomly chosen student attends school in an inner city location,what is the probability that it is a public school?

Accepted Answer

A)  .189 
B)  .333 
C)  .500 
D)  .567 
A)  .189 
B)  .333 
C)  .500 
D)  .567

Question 11

The probability that event A occurs,given that event B has occurred,is an example of:

Accepted Answer

A)  a marginal probability. 
B)  a conditional probability. 
C)  a joint probability. 
D)  more than one of the above. 
A)  a marginal probability. 
B)  a conditional probability. 
C)  a joint probability. 
D)  more than one of the above.

Question 12

Given the contingency table shown here,find the probability that a randomly chosen employee is a line worker who plans to retire at age 65. Survey question: Do you plan on retiring or keep working when you turn 65?

Accepted Answer

A)  .227 
B)  .419 
C)  .750 
D)  .315 
A)  .227 
B)  .419 
C)  .750 
D)  .315

Question 13

Given the contingency table shown here,find P(V).

Accepted Answer

A)  .20 
B)  .40 
C)  .50 
D)  .80 
A)  .20 
B)  .40 
C)  .50 
D)  .80

Question 14

The general law of addition for probabilities says P(A or B)= P(A)+ P(B)- P(A ∩ B)

Accepted Answer

A) True 
 B)False

Question 15

Given the contingency table shown here,find P(B).

Accepted Answer

A)  .85 
B)  .25 
C)  .45 
D)  .22 
A)  .85 
B)  .25 
C)  .45 
D)  .22

Question 16

Given the contingency table shown here,find P(E).

Accepted Answer

A)  .180 
B)  .300 
C)  .529 
D)  .641 
A)  .180 
B)  .300 
C)  .529 
D)  .641

Question 17

The sum of the probabilities of two mutually exclusive events is one.

Accepted Answer

A) True 
 B)False

Question 18

Given the contingency table shown here,find the joint probability that a call sampled at random out of this population is local and 2-5 minutes long.

Accepted Answer

A)  .5000 
B)  .3125 
C)  .4000 
D)  .4625 
A)  .5000 
B)  .3125 
C)  .4000 
D)  .4625

Question 19

If P(A | B)= 0.40 and P(B)= 0.30,find P(A ∩ B).

Accepted Answer

A)  .171 
B)  .525 
C)  .571 
D)  .120 
A)  .171 
B)  .525 
C)  .571 
D)  .120

Question 20

From the following tree,find the probability that a randomly chosen person will not get a vaccination and will not get the flu.

Accepted Answer

A)  .18 
B)  .60 
C)  .19 
D)  .70 
A)  .18 
B)  .60 
C)  .19 
D)  .70

Independent events are mutually exclusive.

The odds of an event can be calculated by dividing the event's probability by the probability of its complement.

If P(A)= .20 then the odds against event A's occurrence are 4 to 1.

Baye's Theorem shows how to revise a prior probability to obtain a conditional or posterior probability when another event's occurrence is known.

Given the contingency table shown here,find P(A ∩ M).

The empirical view of probability is based on relative frequencies.

Probability is the measure of the relative likelihood that an event will occur.

Regarding the rules of probability,which of the following statements is correct?

Given the contingency table shown here,if a randomly chosen student attends school in an inner city location,what is the probability that it is a public school?

The probability that event A occurs,given that event B has occurred,is an example of:

Given the contingency table shown here,find the probability that a randomly chosen employee is a line worker who plans to retire at age 65. Survey question: Do you plan on retiring or keep working when you turn 65?

Given the contingency table shown here,find P(V).

The general law of addition for probabilities says P(A or B)= P(A)+ P(B)- P(A ∩ B)

Given the contingency table shown here,find P(B).

Given the contingency table shown here,find P(E).

The sum of the probabilities of two mutually exclusive events is one.

Given the contingency table shown here,find the joint probability that a call sampled at random out of this population is local and 2-5 minutes long.

If P(A | B)= 0.40 and P(B)= 0.30,find P(A ∩ B).

From the following tree,find the probability that a randomly chosen person will not get a vaccination and will not get the flu.

Overview of Statistics

Data Collection

Describing Data Visually

Descriptive Statistics

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions and Estimation

One-Sample Hypothesis Tests

Two-Sample Hypothesis Tests

Analysis of Variance

Simple Regression

Multiple Regression

Time-Series Analysis

Chi-Square Tests

Nonparametric Tests

Quality Management

Filters

Exam 5: Probability

Independent events are mutually exclusive.

The odds of an event can be calculated by dividing the event's probability by the probability of its complement.

If P(A)= .20 then the odds against event A's occurrence are 4 to 1.

Baye's Theorem shows how to revise a prior probability to obtain a conditional or posterior probability when another event's occurrence is known.

Given the contingency table shown here,find P(A ∩ M).

The empirical view of probability is based on relative frequencies.

Probability is the measure of the relative likelihood that an event will occur.

Regarding the rules of probability,which of the following statements is correct?

Given the contingency table shown here,if a randomly chosen student attends school in an inner city location,what is the probability that it is a public school?

The probability that event A occurs,given that event B has occurred,is an example of:

Given the contingency table shown here,find the probability that a randomly chosen employee is a line worker who plans to retire at age 65. Survey question: Do you plan on retiring or keep working when you turn 65?

Given the contingency table shown here,find P(V).

The general law of addition for probabilities says P(A or B)= P(A)+ P(B)- P(A ∩ B)

Given the contingency table shown here,find P(B).

Given the contingency table shown here,find P(E).

The sum of the probabilities of two mutually exclusive events is one.

Given the contingency table shown here,find the joint probability that a call sampled at random out of this population is local and 2-5 minutes long.

If P(A | B)= 0.40 and P(B)= 0.30,find P(A ∩ B).

From the following tree,find the probability that a randomly chosen person will not get a vaccination and will not get the flu.

Overview of Statistics

Data Collection

Describing Data Visually

Descriptive Statistics

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions and Estimation

One-Sample Hypothesis Tests

Two-Sample Hypothesis Tests

Analysis of Variance

Simple Regression

Multiple Regression

Time-Series Analysis

Chi-Square Tests

Nonparametric Tests

Quality Management

Filters